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October 15, 2025Holistic Science

Implementation of Aspect-Based Sentiment Analysis for Outdoor Gear Product Reviews on the Tokopedia E-Commerce Platform (Case Study: Eiger Adventure)

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Authors

DADhanif Daffa AlfaridziTPTacbir Hendro PudjiantoroISIrma Santikarama

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Overview

This analysis reveals customer perceptions of Eiger Adventure products, indicating areas for service improvement.

Key Points

  • Eiger Adventure's product reviews revealed a dominant positive sentiment about quality and model aspects, but complaints were frequent for delivery.
  • The analysis utilized 3,670 customer reviews from Tokopedia, employing techniques like web scraping and machine learning with K-Nearest Neighbor.
  • The TF-IDF method was used for text vectorization, achieving a classification accuracy of 61.6% and identifying key aspects affecting customer satisfaction.
  • While product quality is viewed positively, improving delivery and sizing information is critical for enhancing overall customer satisfaction.

Cite This Study

Alfaridzi et al. (2025) studied this question.

synapsesocial.com/papers/68f01110f081da0584b5681bhttps://doi.org/10.56495/hs.v5i2.1230
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Optimizing Customer Decision-Making with Enhanced Product Evaluation Using Aspect-Based Sentiment Analysis and Naïve Bayes Algorithm2025
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  4. 4Aspect-Based Sentiment Analysis on Amharic Text for Evaluating Ethio-Telecom Services2024
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